Research On the Evaluation of TPACK Competence of Mathematics Normal Students Based on The Entropy Weight TOPSIS Model

Zeyu Wei

doi:10.54097/q2pqgw19

Authors

Zeyu Wei

DOI:

https://doi.org/10.54097/q2pqgw19

Keywords:

TPACK, Entropy weight improved TOPSIS model, Key factors, Ridit analysis model.

Abstract

In the context of educational informatization reform, the TPACK theory emphasizes the need for teachers to integrate subject knowledge, pedagogical knowledge, and technological knowledge. However, existing research methods are limited and lack depth. As future educators, mathematics teacher candidates urgently need to develop the ability to integrate information technology with teaching during their pre-service training to adapt to the demands of the times. Specifically, this study focuses on investigating the current status of TPACK competence among mathematics teacher candidates in teacher education colleges and exploring the influencing factors of TPACK competence. By utilizing the Schmidt scale and referencing multiple master's and doctoral theses, the study independently designs a questionnaire tailored to the characteristics of teacher education colleges. Using an entropy-weighted TOPSIS model to analyze the collected questionnaire data, this research aims to propose a TPACK competence evaluation model based on the unique features of higher education institutions. This approach not only enables a more accurate assessment of mathematics teacher candidates' TPACK competence but also provides a new research paradigm for other institutions of higher education.

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